Data Scientist II

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November 25

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Axle Informatics

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Axle Informatics is a bioscience and information technology company that offers advancements in translational research, health informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we develop and apply research tools and techniques that empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH) by offering the responsiveness of a small business coupled with the experience, breadth, and depth of a large organization.

501 - 1000 employees

📋 Description

• Develop, implement, and optimize LLMs and computer vision algorithms for processing and analyzing biomedical text and image data. • Design and develop software tools and pipelines for automated image analysis, data integration, and visualization, leveraging machine learning and deep learning techniques. • Collaborate with biologists and other researchers to understand their needs and translate them into technical solutions, incorporating state-of-the-art AI methodologies. • Perform data mining, statistical analysis, and machine learning on large-scale biomedical imaging datasets to extract meaningful insights and improve predictive accuracy. • Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness, and scalability. • Document software development processes, create user manuals, and provide training and support to end-users, particularly focusing on AI applications. • Stay up-to-date with the latest advancements in AI, computer vision, biomedical imaging, computational biology, and data science, and apply this knowledge to improve existing tools and methodologies. • Participate in interdisciplinary team meetings, present findings, and contribute to scientific publications and grant proposals, emphasizing AI and computer vision innovations. • Identify and implement new AI technologies and frameworks to enhance the capabilities of biomedical imaging tools and methodologies. • Knowledge of code packaging, containerization technologies, and continuous integration pipelines. • DevOps experience with Kubernetes and workflow automation is a plus.

🎯 Requirements

• Ph.D. or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field • Proven experience in biomedical imaging analysis, AI, and computer vision, preferably in HTS and HCS contexts • Strong programming skills in languages such as Python. C++ and Rust is a plus • Well versed with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, PydanticAI, and LLM observability • Experience with image analysis software and libraries such as ImageJ, CellProfiler, OpenCV, or similar • Knowledge of statistical analysis and data visualization techniques • Familiarity with high-performance computing and cloud-based data processing environments • Excellent problem-solving skills and the ability to work both independently and as part of a team • Strong communication skills and the ability to convey complex technical concepts to non-technical audiences • Experience in developing AI-driven software tools for biomedical research • Experience with version control systems such as Git • Experience with workflow automation tools • Previous experience working in a collaborative, interdisciplinary research environment

🏖️ Benefits

• 100% Medical, Dental & Vision Coverage for Employees • Paid Time Off and Paid Holidays • 401K match up to 5% • Educational Benefits for Career Growth • Employee Referral Bonus • Flexible Spending Accounts: • Healthcare (FSA) • Parking Reimbursement Account (PRK) • Dependent Care Assistant Program (DCAP) • Transportation Reimbursement Account (TRN)